DevOps engineer

• Infrastructure Management: Design, implement, and maintain scalable, secure, and high-availability infrastructure across AWS / Azure and on-premise environments.
• Automation & Scripting: Develop automation scripts using Shell/Bash or Python for system administration, workflows, and deployment processes.
• Containerization & Orchestration: Manage containerized workloads using Docker and orchestration platforms like Kubernetes (EKS, RKS).
• CI/CD Pipelines: Build and manage automated pipelines with Jenkins, leveraging Groovy scripts for complex workflows.
• Infrastructure as Code (IaC): Implement infrastructure provisioning using Terraform and CloudFormation Templates (CFT) to ensure reproducible environments.
• Configuration Management: Handle configuration deployments using YAML and maintain applications in alignment with operational best practices.
• Monitoring & Observability: Implement and maintain monitoring, logging, and alerting systems using industry-leading tools to ensure system health, performance, and reliability.
• Networking & Security: Monitor and troubleshoot network configurations, connectivity issues, and security best practices for distributed applications.
• Troubleshooting & Support: Provide advanced troubleshooting for production incidents, working closely with developers to resolve issues in a microservices-based architecture.
• Continuous Improvement: Research, recommend, and introduce new tools and automation to improve deployment efficiency and system scalability.

Detailed Points -

• Expert-level knowledge of Linux-based systems and command-line administration.
• Proficient in Shell/Bash scripting or Python programming.
• Strong expertise in Docker and container lifecycle management.
• Solid hands-on experience with Kubernetes (preferably EKS or Rancher Kubernetes Service).
• Experience in Jenkins pipeline creation (declarative & scripted) using Groovy.
• Familiarity with IaC tools like Terraform and AWS CloudFormation Templates.
• Proficiency in creating and maintaining YAML configurations.
• In-depth understanding of AWS or Azure cloud services and on-premises environments.
• Strong grasp of networking fundamentals and troubleshooting.
• Proven experience implementing monitoring, logging, and observability best practices (e.g., Prometheus, Grafana, ELK, CloudWatch).
• Hands-on experience with microservices architectures and related operational patterns.
• Excellent troubleshooting skills with a practical, hands-on approach.
• Strong problem-solving and analytical skills.
• Ability to work independently while collaborating across teams.
• Excellent communication skills in technical and non-technical contexts.
• Continuous learner who keeps up-to-date with the latest DevOps tools and trends.

Required Skills

Python, Prometheus Grafana ELK CloudWatch, Continuous learner, Shell Bash, Shell Bash scripting, troubleshooting, orchestration, AWS CloudFormation, on premise, Kubernetes EKS RKS, Python programming, problem solving, AWS Azure, DevOps, command line, Linux, Groovy, Docker, communication, AWS, analytical, Azure, Terraform, on premises